AMD

16 hours ago

AI Validation and Test Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Lead system-level, rack-level, and cluster-scale validation for next-generation AI and machine learning server platforms. Define validation strategies and comprehensive test plans across scale-up/scale-out customer deployment scenarios, covering CPU, GPU, memory, BIOS, BMC, networking, storage, firmware, operating systems, and infrastructure. Drive root cause analysis for complex integration issues, analyze large-scale validation data, and establish telemetry- and data-driven validation readiness criteria while mentoring engineering teams.

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: QA, Test & Release Engineering

Seniority: Mid level

Key Responsibilities

•Lead system-level, rack-level, and cluster-scale validation strategy for AI/ML server platforms.
•Define and drive comprehensive validation plans for customer deployment scenarios across scale-up and scale-out environments.
•Develop validation methodologies and test strategies spanning CPU, GPU, memory, BIOS, BMC, networking, storage, platform firmware, operating systems, and infrastructure components.
•Collaborate cross-functionally to define validation requirements, identify coverage gaps, and improve overall product quality.
•Lead investigation and root cause analysis of complex hardware, firmware, software, networking, and system integration issues.

Key Requirements

•8+ years of experience in system-level validation, platform validation, post-silicon validation, or large-scale infrastructure validation.
•Proven experience validating large-scale server, AI, cloud, HPC, or data center platforms.
•Deep understanding of computer architecture, server platform design, operating systems, networking, and storage, including hardware/software interactions.
•Strong proficiency in Python and Linux, with working knowledge of Bash and/or PowerShell.
•Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent.

Experience:8+ yearsAIMachine learningCloudHPCData centerPost-silicon validationServer platforms

Education:Bachelor's in Computer Science, Computer Engineering, Electrical Engineering (or equivalent)

Skills:DebuggingAnalytical skillsTechnical judgmentCross-functional collaborationTechnical leadership

Languages:English

Tech Stack:PythonLinuxBashPowerShellAIMachine learningGPUCPUBIOSBMCNetworkingStorageFirmwareOperating systemsTelemetryAnalyticsData-driven methodologies

Company Brief

AMD

Designs and produces semiconductor products including CPUs, GPUs, and adaptive SoCs for consumer, enterprise, and embedded markets, competing across PCs, data centers, and gaming industries.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1969

Glassdoor: 3.9

Website LinkedIn

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AMD